A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation

5 Mar 2020Jian LiangYunbo WangDapeng HuRan HeJiashi Feng

This work addresses the unsupervised domain adaptation problem, especially for the partial scenario where the class labels in the target domain are only a subset of those in the source domain. Such a partial transfer setting sounds realistic but challenging while existing methods always suffer from two key problems, i.e., negative transfer and uncertainty propagation... (read more)

PDF Abstract
TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK LEADERBOARD
Partial Domain Adaptation ImageNet-Caltech BA^3US Accuracy (%) 83.7 # 1
Partial Domain Adaptation Office-31 BA^3US Accuracy (%) 97.8 # 1
Partial Domain Adaptation Office-Home BA^3US Accuracy (%) 76.0 # 2

Methods used in the Paper


METHOD TYPE
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